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PyTorch implementation for paper Neural Marching Cubes.
⛄ Differentiable Manifold Reconstruction for Point Cloud Denoising (ACM MM 2020)
Marching cubes implementation for PyTorch environment.
Cross platform plugin testing and validation tool
This is the source code of the 1st place solution for segmentation task in MICCAI 2020 TN-SCUI challenge.
Synthesis of Drum Sounds With Perceptual Timbral Conditioning Using Generative Adversarial Networks
Contains links to publicly available datasets for modeling health outcomes using speech and language.
Dear ImGui: Bloat-free Graphical User interface for C++ with minimal dependencies
DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.
Code for "Deep Marching Cubes: Learning Explicit Surface Representations", CVPR 2018
Segmentation of Kidney and Tumor Competition A Pytorch implementation for <V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation>
A PyTorch implementation for V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation
Pixel2Mesh++: Multi-View 3D Mesh Generation via Deformation. In ICCV2019.
Pixel2Mesh: Generating 3D Mesh Models from Single RGB Images. In ECCV2018.
Voxel2Mesh: 3D Mesh Model Generation from Volumetric Data
High-quality pro audio resampler / sample rate conversion C++ library. Very fast, for both audio resampling and time-series interpolation.
Pyroomacoustics is a package for audio signal processing for indoor applications. It was developed as a fast prototyping platform for beamforming algorithms in indoor scenarios.
A library for soundscape synthesis and augmentation
Simple DCGAN implemented in Keras, tested primarily for landscape paintings
A curated list of awesome Speech Enhancement papers, libraries, datasets, and other resources.